from    
to    
search  

 


硬X射线谱学技术发展和应用
可再生能源科学沙龙 第一次校友论坛:高可再生能源比例下的新型电力系统
全球变化科学紫荆论坛第426期:基于气候相似性分析的台风特征及致灾研究
C3PU: An Automated Portable Platform for Organic Synthesis
报告题目:
AI and Optimization Methods in Sensor Network Management
 报告人:
Kendall E. Nygard
Professor in the Department of Computer Science and Operations Research at North Dakota State University
报告时间:
2007-06-05 10:00
报告地点:
清华大学FIT3-125
主办单位:
计算机科学与技术系
  简介:

Abstract:

 

We describe several coverage and scheduling problems that arise in the intelligent management of heterogeneous sensor networks. We also describe an application to management of a new lunar rover design that is embedded in a sensor network. Fuzzy reasoning, rough sets, and closed-form generalized network models are devised to manage the sensor networks.

 

 

Biographical information:

 

 

Dr. Kendall E. Nygard is a Professor in the Department of Computer Science and Operations Research at North Dakota State University.  From 1996 to 2005 he served as department chair.  He also served as the Director of the Scientific Computing center at the University of North Dakota.  He earned his Ph.D. degree in 1978 from Virginia Polytechnic Institute and State University.  He is serving as Advisory Editor of the Journal of Heuristics. He has been principal investigator for more than 30 federal, state, and private grants and contracts. He is widely published in aspect-oriented software, sensor networks, cooperative control, multi-agent systems, metaheuristics, network and combinatorial optimization, and sub-symbolic artificial intelligence.

今日相关信息
Chinese American Images in Early Amer...
 
同类别相关信息
清华信息大讲堂第141讲:数据质量管理的...
清华信息大讲堂第140讲:Big Data - Se...
Integrating and Accessing Multiling...
数据研究院RONG系列论坛一:大数据与新...
大数据论坛——数据科学与技术
学术活动